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Journals / Bilimsel Madencilik Dergisi / 2019 / Cilt: 58 - Sayı: 3

STATISTICAL QUALITY CONTROL WITH FUZZY LOGIC METHOD USING TOTAL COLOR DIFFERENCE PARAMETER: AN APPLICATION IN ALUMINUM PRODUCTION PLANT

TOPLAM RENK FARKLILIĞI PARAMETRESİ KULLANILARAK BULANIK MANTIK YÖNTEMİYLE İSTATİSTİKSEL KALİTE KONTROLÜ: ALÜMİNYUM ÜRETİM TESİSİNDE BİR UYGULAMA

Volkan ARSLAN
Pages
219–228
Publication Date
2019-09-01
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

According to these values,it has been determined that the processes meet the needs.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:A fuzzy mean and range control charts were used to monitor the production process.
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Key Findings & Data:The results reveal thatthe proposed fuzzy control charts could detect abnormal shifts in the production process moreaccurately than the traditional Shewhart control charts, as they had used more information fromthe process.In this study, fuzzy statistical quality control application was applied to Eti Aluminum Co. aluminumproduction plant.
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Conclusion & Impact:According to these values,it has been determined that the processes meet the needs.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Bulanık kontrol kartları · İstatistiksel kalite kontrolü · Proses yeterlilik indeksi

Abstract

A fuzzy mean and range control charts were used to monitor the production process. Fuzzycontrol charts were validated through a case study at the aluminum production company bycollecting data from the factory and comparing it to the traditional Shewhart control charts whichhave been already applied by the factory for monitoring the process. The results reveal thatthe proposed fuzzy control charts could detect abnormal shifts in the production process moreaccurately than the traditional Shewhart control charts, as they had used more information fromthe process.In this study, fuzzy statistical quality control application was applied to Eti Aluminum Co. aluminumproduction plant. Total color difference parameter (ΔE) data were studied using fuzzy observationon an aluminum production plant. For this purpose, color parameters of the aluminum productionplant were evaluated using triangular fuzzy number (TFN) and fuzzy process capability indices(PCIs). Process capability analysis was carried out to determine whether there was sufficient ofthe production process with the information obtained. The Cp, Cpu and Cpl indices were 1.267,1.263, 1.257; 1.419, 1.414, 1.408 and 1.115, 1.111, 1.106, respectively. According to these values,it has been determined that the processes meet the needs.

Özet

Üretim sürecini izlemek için bulanık bir ortalama ve değişim aralığı kontrol çizelgeleri kullanılmıştır.

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Cite This Article

ARSLAN, V. (2019). STATISTICAL QUALITY CONTROL WITH FUZZY LOGIC METHOD USING TOTAL COLOR DIFFERENCE PARAMETER: AN APPLICATION IN ALUMINUM PRODUCTION PLANT. Bilimsel Madencilik Dergisi, Cilt: 58 - Sayı: 3, 219–228. https://ajindex.com/articles/58526

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